Objective: The study aimed to screen the prepubertal children for idiopathic scoliosis at earlier stages, and find
out the relationship between idiopathic scoliosis and demographic data such as age, sex, body mass index,
heavy backpacks, and heart & lung diseases.
Methodology: A descriptive study was conducted on screening program for prepubertal children in primary
schools at Baghdad city, starting from 24th of February to the end of October 2010. Non- probability
(purposive) sample of 510 prepubertal children were chosen from primary schools of both sides of Al-Karkh
and Al-Russafa sectors. Data was collected through a specially constructed questionnaire format include (24)
items multiple choice questions, and researcher observation. The validity of the questionnaire was determined
through a panel of experts related to the field of the study, and the reliability through a pilot study. The data
were analyzed through the application of descriptive statistical analysis frequency, & percentages, and
inferential statistical analysis, chi-square, are used.
Results: The study results revealed that most of the prepubertal children have idiopathic scoliosis, two third of
the sample (88.4%) were at age 10-12 years and mostly boys. There is highly significant association with (low
Body Mass Index & carry of the school backpack) but no significant association with the age, gender, and lung
& heart diseases. There is highly significant association between prepubertal children's idiopathic scoliosis signs
& the researcher observation for the prepubertal body feature, and Adam's Bending Forward Test which
revealed highly significant association with their idiopathic scoliosis. The results of the study reflect that the
majority of prepubertal children's idiopathic scoliosis deformities have significant association at early detection
than the other spinal deformities (kyphosis & kyphoscoliosis).
Recommendation: The researchers recommended that Ministry Of Health should activate the screening program
of scoliosis within school health service programs, and Ministry of Education should be involved their teachers in
the screening & training program.
Abstract
For sparse system identification,recent suggested algorithms are 
-norm Least Mean Square ( -LMS), Zero-Attracting LMS (ZA-LMS), Reweighted Zero-Attracting LMS (RZA-LMS), and p-norm LMS (p-LMS) algorithms, that have modified the cost function of the conventional LMS algorithm by adding a constraint of coefficients sparsity. And so, the proposed algorithms are named -ZA-LMS,
The using of the parametric models and the subsequent estimation methods require the presence of many of the primary conditions to be met by those models to represent the population under study adequately, these prompting researchers to search for more flexible parametric models and these models were nonparametric, many researchers, are interested in the study of the function of permanence and its estimation methods, one of these non-parametric methods.
For work of purpose statistical inference parameters around the statistical distribution for life times which censored data , on the experimental section of this thesis has been the comparison of non-parametric methods of permanence function, the existence
... Show More
(4)
(4)
In this paper, we propose a method using continuous wavelets to study the multivariate fractional Brownian motion through the deviations of the transformed random process to find an efficient estimate of Hurst exponent using eigenvalue regression of the covariance matrix. The results of simulations experiments shown that the performance of the proposed estimator was efficient in bias but the variance get increase as signal change from short to long memory the MASE increase relatively. The estimation process was made by calculating the eigenvalues for the variance-covariance matrix of Meyer’s continuous wavelet details coefficients.
(5)
(3)
(4)
(7)
(2)
HM Al-Dabbas, RA Azeez, AE Ali, Iraqi Journal of Science, 2023
(7)
(9)
(5)